Software Engineer, Rogo
Financial Data
$250-315k
+ Equity
5 days a week in office
No-code data analytics platform
Be an early applicant
No-code data analytics platform
101-200 employees
Be an early applicant
$250-315k
+ Equity
5 days a week in office
101-200 employees
Company mission
To unleash the power of data and enable everyone to become a data genius.
Role
Who you are
- Bachelor's in Computer Science or related field
- 5+ years of professional software engineering experience, with a proven track record building complex, data-intensive backend systems
- 5+ years of hands-on experience with GCP or equivalent cloud stack, building and scaling production-grade services
- Deep expertise in Python for backend and API systems; proficiency in at least one strongly typed language (Rust, C++, or Java), with Java being a strong plus
- Mastery in designing large-scale distributed systems — asynchronous patterns, streaming, queuing, caching strategies, and robust observability (logging, metrics, tracing)
- Strong command of relational databases and SQL — schema design, query optimization, indexing — alongside NoSQL, in-memory (Redis), and columnar stores (BigQuery, Snowflake, Redshift)
- Proven experience building and operating large-scale data pipelines — both streaming and batch — integrating heterogeneous financial data sources with high reliability and throughput
- 3+ years of experience managing or working closely with globally distributed engineering teams
- Exceptional communication skills — able to articulate complex technical concepts to both technical and non-technical stakeholders, and to influence engineering direction across teams without direct authority
- Track record of shipping high-quality products in unstructured, fast-moving environments with full autonomy from conception to deployment
- Demonstrated passion for corporate finance, capital markets, and financial data — you understand the standards, workflows, and zero-tolerance for data quality issues that investment professionals demand
- You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup
- You are ambitious. You have fun solving problems that others think are impossible
- You are curious. You find joy in learning about AI, technology, and finance
- You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity
- You are collaborative, organized, thoughtful, and kind
What the job involves
- As a Backend Engineer on the Financial Data team, you'll be at the cutting edge of what makes Rogo's AI possible — the systems that source, integrate, transform, and serve structured and unstructured financial data at scale. This is a critical role at the heart of the product
- Own critical data infrastructure: Take complex requirements and turn them into robust, scalable solutions that ingest, transform, and serve financial datasets reliably — end to end, from conception to production
- Architect for scale and performance: Design and build highly scalable, cost-effective data processing pipelines that handle millions of documents and datapoints daily with very low latency and maximum throughput
- Drive data integration: Build systems that connect heterogeneous financial datasets — market data vendors, proprietary sources, third-party providers — into coherent, reliable, queryable platforms that power Rogo's AI layer
- Enable AI with great data: Work closely with the Core AI team to ensure financial data is structured, clean, and served in ways that maximize the performance and reliability of Rogo's models and retrieval systems
- Critically, the data pipelines, transformations, and interfaces you build are themselves powered by the same AI techniques and innovation used across the rest of the platform — you are not just feeding the machine, you are part of it
- Handle customer data with care: Build secure, compliant integrations that treat enterprise customer data with the highest standards of trust, privacy, and reliability — from ingestion through to serving
- Raise the bar: Lead by example — write the kind of code, make the kind of decisions, and bring the kind of energy that naturally elevates everyone around you
- Be a cultural anchor: Foster a culture of learning, craft, and ownership not through direction, but through how you show up every day
Our take
Managing and using financial data can be a complex and frustrating process. Rogo solves this problem by leveraging the power of natural language processing to allow users to manage, combine, analyze and export data from multiple sources without the need for coding.
This allows businesses to unlock immense value from their data without the need for coding expertise and highly trained developer teams. Simply put, users can perform tasks using plain English. As such, Rogo's comprehensive no-code solution is accessible and scalable.
No-code data analysis is a growing industry, and Rogo's main challenge will be competing with the likes of Domo and Obviously. Its chief asset is the experience of its team, which has lent the company considerable weight and insight. It has also raised substantial funding which supports global expansion, the deepening of partnerships with financial institutions, and the scaling of its AI agent.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 7 rounds)
Apr 2026
$160m
SERIES D
Jan 2026
$75m
SERIES C
Total funding: $315m
Company HQ
Civic Center, New York, NY
Leadership
Gabriel Stengel
(CEO & Founder)Previously worked as a Data Analyst at Engineers Gate and as a Software Engineer at MongoDB. Was an Investment Banker at Lazard.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 54 more jobs at Rogo